Ramdhany, Rahmat (2018) Pengelompokan Desa di Kabupaten Bondowoso Berdasarkan Data Campuran Numerik dan Kategorik menggunakan Metode Ensembel ROCK. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kabupaten Bondowoso merupakan salah satu kabupaten yang tergolong sebagai daerah tertinggal. Penentuan daerah tertinggal dilakukan oleh Bappenas berdasarkan Indeks Pembangunan Desa (IPD). Indikator dalam IPD tersusun atas data campuran yang berskala numerik dan kategorik. Untuk dapat mengatasi permasalahan daerah tertinggal perlu dilakukan penanganan mulai dari sub komponen terkecil di daerah, yaitu desa apa yang tergolong sebagai desa tertinggal. Salah satu metode statistika untuk dapat menentukan kelompok desa tertinggal adalah analisis pengelompokan atau analisis cluster. Namun karena variabel yang dihadapi tersusun atas data berskala campuran maka digunakan metode pengembangan dari analisis cluster yaitu analisis cluster dengan metode ensembel ROCK. Hasil pengelompokan desa di Kabupaten Bondowoso berdasarkan metode ensembel ROCK diperoleh 2 cluster dimana cluster 1 berisikan 71 desa dan cluster 2 berisikan 148 desa Berdasarkan karakteristik dalam tiap cluster tersebut, cluster 1 menunjukkan kondisi yang paling rendah sehingga cluster 1 dianggap sebagai kelompok desa tertinggal.
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Bondowoso is one of the districts that are categorized as underdeveloped areas. The underdeveloped areas determined by Bappenas based on the Village Development Index (IPD). Indicators in IPD are composed by numerical and categorical mixed data, to overcome the problem of underdeveloped areas, it is importan to determine the villages which are classified as underdeveloped areas. One of statistical method to determine the group of inderdeveloped villages is cluster analysis. However, because the varables encountere are composed of mixed-scale data, so the cluster analysis method used is ROCK ensemble methods. The result of village classification in Kabupaten Bondowoso based on ROCK ensemble method obtained 2 cluster where first cluster contains 71 villages and second cluster contains 148 villages. Based on the characteristics in each cluster, first cluster shows the lowest condition, so that the first cluster is considered as a underdeveloped villages group.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.53 Ram p-1 3100018075094 |
| Uncontrolled Keywords: | Desa; Ensembel; Kategorik; Numerik; ROCK; Categorical; Ensemble; Numerical; Villa ges |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics) |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Rahmat Ramdhany |
| Date Deposited: | 03 Apr 2018 08:02 |
| Last Modified: | 21 Sep 2020 06:37 |
| URI: | http://repository.its.ac.id/id/eprint/50685 |
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